A Factorization Approach to Inertial Affine Structure from Motion

08/09/2016
by   Roberto Tron, et al.
0

We consider the problem of reconstructing a 3-D scene from a moving camera with high frame rate using the affine projection model. This problem is traditionally known as Affine Structure from Motion (Affine SfM), and can be solved using an elegant low-rank factorization formulation. In this paper, we assume that an accelerometer and gyro are rigidly mounted with the camera, so that synchronized linear acceleration and angular velocity measurements are available together with the image measurements. We extend the standard Affine SfM algorithm to integrate these measurements through the use of image derivatives.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/21/2018

Phase retrieval from the magnitudes of affine measurements

In this paper, we consider the generalized phase retrieval from affine m...
research
03/29/2005

Geometric Models of Rolling-Shutter Cameras

Cameras with rolling shutters are becoming more common as low-power, low...
research
12/15/2020

Robust Factorization Methods Using a Gaussian/Uniform Mixture Model

In this paper we address the problem of building a class of robust facto...
research
08/07/2014

Low-rank SIFT: An Affine Invariant Feature for Place Recognition

In this paper, we present a novel affine-invariant feature based on SIFT...
research
07/19/2019

Accurate IMU Preintegration Using Switched Linear Systems For Autonomous Systems

Employing an inertial measurement unit (IMU) as an additional sensor can...
research
01/16/2022

Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction

How to use multiple optical satellite images to recover the 3D scene str...
research
04/08/2021

Affine-modeled video extraction from a single motion blurred image

A motion-blurred image is the temporal average of multiple sharp frames ...

Please sign up or login with your details

Forgot password? Click here to reset